Verifiable AI for fund operations: The build-vs-buy decision
Ask a fund administrator the question an auditor asks, and the build-versus-buy decision starts to answer itself. Show me how you got this number, the same way, twice, with the record.
Most of the AI conversation in the back office is about speed. Close in hours instead of days. Speed is real, and it is the second thing. The first is whether the number can be reproduced and traced, because a net asset value that turns out wrong costs more than a slow one that was right.
A general-purpose model is good at language. It reads a 200-page agreement and drafts the investor notice. It is also a next-token predictor, so it cannot promise the same figure twice, and turning the temperature to zero does not change what kind of machine it is.
Our new Build-vs-Buy white paper walks the full build-versus-buy decision for AI in fund operations. It covers why determinism is the thing the back office should buy, and what building the workaround in-house actually costs in scarce engineering talent and shelved roadmap. It also makes the case that compliance is a control your firm operates and evidences, well after a vendor's certificate is filed.
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